reporting

Many organizations today are investing heavily in data projects to improve data-driven decision making. But paradoxically most of these projects don’t consider decisions explicitly. Data projects usually begin with data capture before understanding what data will be useful, for what action and for what benefit. Without understanding the decision making that will improve business performance and […]

Get out of the reporting quagmire, be explicit about decision making with decision modeling and integrate analytics in BI and operational systems. We’re Not There Yet “The activities of analytics teams and the investments made to support them aren’t in sync with what executives expect or desire.” International Institute for Analytics, February 2017 “If analytics does […]

Everyone wants to make better data-driven decisions. Reporting is getting in the way. Everyone wants to make better data-driven decisions. Many companies are using reporting to support decision making but their ability to do so is bogged down. There are too many reports, resources are committed to existing reports and the link from reports to […]

May 28, 2015 10:00 am PDT, 1:00 pm EDT Register Here. Advanced Analytics is not just for data scientists anymore. Many businesses adopt their analytics by degree of complexity, limiting business professionals to reporting and dashboard views of their business. But recent research has found that with modern tools and techniques it is of much […]

One of my big focus areas right now is using decision requirements models to frame predictive analytic projects. We are working with a few insurance companies as well as a couple of manufacturing companies to apply decision requirements modeling in their analytic requirements process and I am excited by the potential. I recently wrote an […]

A big focus area right now for organizations looking to adopt or expand operational predictive analytics is using decision requirements models to frame requirements for their predictive analytic projects. We are working with a few insurance companies as well as a couple of manufacturing companies to apply decision requirements modeling in their analytic requirements process and I […]

It’s clear when you analyze analytic capabilities that there are three main reasons people use analytics: A need to report on some aspect of the organization. A need to monitor the organization’s behavior or performance. A need for the organization to make data-driven decisions. As part of our recently completed research on the analytic capability landscape, we […]

We have just published the Analytics Capability Landscape Research Report and Infographic. This new research report looks at the increasingly broad portfolio of analytic capabilities available to enterprises today asking the real question – what situations need which capabilities, who is the target user for these capabilities, and how can this portfolio of capabilities be […]

November 6, 2014 2 pm ET/11 am PT Register here. What’s the difference between the various analytic capabilities? How do I map available analytic capabilities to my business needs? What’s the right combination of capabilities for me now and in the future? What should I look for in each of these capabilities to make sure […]

DecisionViz is a management consultant that helps companies build leadership in the processes, people, and culture around data visualization. We work with senior management to elevate visualization from the activity of reporting and making charts to being integrated with their daily decision-making. I founded the company in 2012.

What’s your background, how did you come to be working in analytics

Our story I think is like many in the analytics field. It’s been more of an evolution and the company has been almost 20 years in the making.
I was very involved with the Internet before most people heard about the Internet. So we were dealing with how to capture and measure all this new data. I’ve always been on the lookout for how to make that a lot less painful. Most of the work was in financi